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DP-750 · 3.1.1 · Prepare and process data

Design ingestion logic

Design logic for data ingestion and data source configuration, including extraction type and file type

Choose extraction and file handling from source behavior, freshness, change tracking, and downstream requirements.

Start with how the source changes

  • No reliable change trackingFull snapshot
  • Reliable increasing key or timestamp existsIncremental extraction
  • Inserts, updates, and deletes must be reproducedCDC
Extraction pattern

Choose the simplest pattern that preserves the required source state and latency.

See what CDC captures

Microsoft Learn example showing one changed source row becoming a CDC update record with an operation and sequence number.

CDC carries row-level change semantics and ordering metadata instead of re-reading the complete source.

Let freshness drive cadence

  • Scheduled

    Latency
    Minutes to days
    Complexity
    Lower
    Best fit
    Periodic reporting
  • Continuous

    Latency
    Seconds to minutes
    Complexity
    Higher
    Best fit
    Event-driven workloads
Freshness requirement

Match extraction, cadence, and file format to source behavior rather than choosing the most sophisticated design by default.

Key points

  • Snapshot: Reloads a complete source state
  • Incremental: Reads only new or changed data
  • CDC: Preserves inserts, updates, and deletes as changes
  • File format: Match structure, scale, and interoperability needs

Exam trap

Do not choose full snapshots by habit when the source exposes reliable incremental changes.

Sources · 2 Microsoft Learn pages Show ▾

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